Main factors influencing precision of fractal dimension computation include number of data, distribution of data, stationarity of data, no scale area.
研究表明影响分维估计精度的主要因素有四种：数据点数、数据概率分布、数据平稳性、无标度区。
The grain number distribution can be expressed by the fractal dimension.
粉煤灰颗粒群的颗粒数分布具有分形特征。
The relations between the fractal dimension and the different concentration isogram, the Reynolds number, the peninsular shape are also researched.
同时还研究了分维数与不同的浓度等值线、雷诺数和半岛形状的关系。
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